Carlos Oteo-Morilla

Work-related musculoskeletal disorders (WMSDs) are highly prevalent among dental professionals and often begin during clinical training. Preventive strategies within dental education remain limited. This study aimed to evaluate the effects of integrating a structured yoga-based programme into postgraduate dental training on musculoskeletal symptoms, perceived stress, and resilience. A randomized controlled pilot study was conducted in which participants were allocated to either an intervention group undertaking a 12-week yoga programme (one session per week) or a control group continuing usual clinical activities. Musculoskeletal symptoms were assessed using the adapted Nordic Musculoskeletal Questionnaire (NMQ) recall measure, while psychological outcomes were assessed using the Perceived Stress Scale (PSS-10) and the Connor–Davidson Resilience Scale (CD-RISC-10). Over the study period, musculoskeletal symptom scores decreased in the intervention group, whereas they remained relatively stable in the control group. Significant Group × Time interactions were observed for the primary musculoskeletal outcomes. No significant differences were found for work-related impairment, perceived stress, or resilience. These preliminary findings suggest that structured movement-based interventions may represent a potentially feasible preventive approach within dental training environments to address early occupational musculoskeletal strain. Further research with larger samples and longer intervention periods is needed to confirm these findings.

Purpose: This study aimed to evaluate and compare the performance of five AI algorithms for tooth segmentation and labeling on intraoral scans, as their performance remains unclear. Materials and Methods: A total of 100 intraoral scans in the STL file format were classified into two main groups: complete dentition (C) and partial dentition (P, fewer than 12 teeth). Each group was further divided by arch into four subgroups ( n = 25 each): complete maxillary (Mx‐C), complete mandibular (Md‐C), partial maxillary (Mx‐P), and partial mandibular (Md‐P). The algorithms tested were the Tooth Group Network (Team CGIP), Dentbird Studio (Dentbird), Medit Ortho Simulation (Medit), NemoSmile 3D (Nemotec), and MovumStudio (MovumTech). Manual segmentations by an expert operator served as the ground truth. Performance was assessed using Python and five metrics, with Intersection over Union (IOU) as the primary indicator. Statistical analysis included permutation tests with the Bonferroni–Holm correction ( α = 0.05). Results: Significant differences were observed between groups and algorithms ( P  < 0.05). IOU scores ranged from 0.72 to 0.92 in complete dentition and showed greater variability in partial dentition (0–0.928). The Tooth Group Network and MovumStudio consistently outperformed the others, with MovumStudio achieving the highest performance across all metrics and groups. Its performance matched that of a human expert when compared against a subset of the data. Conclusions: Tooth segmentation and labeling performance vary depending on dentition completeness and algorithm choice. MovumStudio demonstrated the most robust and consistent results, comparable to expert human annotation.

Background: The development of antimicrobial resistance is a major public health issue, in which dentists play a significant role by prescribing 7–11% of worldwide antibiotics. The aim of this study is to evaluate the self-perception and knowledge of antibiotic therapy in fifth-year undergraduate dental students. Methods: This is a cross-sectional observational study based on the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines. An electronic survey consisting of 18 questions was conducted with fifth-year students enrolled in the 2022/23 and 2023/24 academic years. The data were analyzed using descriptive and inferential statistical methods. Results: A total of 139 students (76.4%) completed the questionnaire. A total of 71.9% of students considered that they had received adequate education in antibiotic therapy, particularly in Oral Surgery (89.2%) and Periodontics (86.3%). The theoretical classes (3.50 ± 0.98) and practical sessions (3.18 ± 1.29) provided the knowledge that had the greatest influence on their education. They showed high self-confidence in diagnosing an infection (3.49 ± 0.73) and in choosing the appropriate antibiotic and dosage (3.26 ± 0.73). Over 76% of students answered correctly regarding the need for antibiotic prescriptions in various practical scenarios, except in the replantation of avulsed permanent teeth (54%). Conclusions: Dental students’ knowledge of antibiotics should be reinforced, as a high percentage answered correctly regarding the indications for antibiotics in pulpal and periapical diseases, but students performed less well regarding the choice of antibiotic and dosage in patients without sensitivity to β-lactams.